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Analytics 2.0 for Precision Education: An Integrative Theoretical Framework of the Human and Machine Symbiotic Learning
Jiun-Yu Wu
*
, Christopher C.Y. Yang, Chen Hsuan Liao, Mei Wen Nian
*
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教育研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Precision Education
100%
Integrative Theoretical Framework
100%
Symbiotic Learning
100%
Reinforcement Learning
66%
Learning Analytics Models
66%
Social Networking
33%
Intelligent Agents
33%
Transferability
33%
Smart Classroom
33%
Learning Analytics
33%
Student Data
33%
Analytic Research
33%
Internal Validity
33%
Advanced Statistics
33%
Model-based Reinforcement Learning
33%
Integrative Framework
33%
Course Description
33%
Case Planning
33%
Seamless Learning
33%
Smart Learning Environment
33%
Long-term Rewards
33%
Computer Science
Theoretical Framework
100%
Learning Analytics
100%
Reinforcement Learning
66%
Analytic Model
66%
Collected Data
33%
Practical Implication
33%
Social Networking (Online)
33%
Intelligent Agent
33%
Data Description
33%
Interpretability
33%
Generalizability
33%
Internal Validity
33%
Model-Based Reinforcement Learning
33%
Dashboards
33%
Social Network
33%
Psychology
Learning Analytics
100%
Social Networking
33%
Chemical Engineering
Reinforcement Learning
100%